Schedule

using System.Collections.Generic;
using System.Linq;
using Pulumi;
using AzureNative = Pulumi.AzureNative;
return await Deployment.RunAsync(() =>
{
    var schedule = new AzureNative.MachineLearningServices.Schedule("schedule", new()
    {
        Name = "string",
        ResourceGroupName = "test-rg",
        ScheduleProperties = new AzureNative.MachineLearningServices.Inputs.ScheduleArgs
        {
            Action = new AzureNative.MachineLearningServices.Inputs.EndpointScheduleActionArgs
            {
                ActionType = "InvokeBatchEndpoint",
                EndpointInvocationDefinition =
                {
                    { "9965593e-526f-4b89-bb36-761138cf2794", null },
                },
            },
            Description = "string",
            DisplayName = "string",
            IsEnabled = false,
            Properties =
            {
                { "string", "string" },
            },
            Tags =
            {
                { "string", "string" },
            },
            Trigger = new AzureNative.MachineLearningServices.Inputs.CronTriggerArgs
            {
                EndTime = "string",
                Expression = "string",
                StartTime = "string",
                TimeZone = "string",
                TriggerType = "Cron",
            },
        },
        WorkspaceName = "my-aml-workspace",
    });
});

package main
import (
	"github.com/pulumi/pulumi-azure-native-sdk/machinelearningservices/v2"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
pulumi.Run(func(ctx *pulumi.Context) error {
_, err := machinelearningservices.NewSchedule(ctx, "schedule", &machinelearningservices.ScheduleArgs{
Name: pulumi.String("string"),
ResourceGroupName: pulumi.String("test-rg"),
ScheduleProperties: interface{}{
Action: machinelearningservices.EndpointScheduleAction{
ActionType: "InvokeBatchEndpoint",
EndpointInvocationDefinition: map[string]interface{}{
"9965593e-526f-4b89-bb36-761138cf2794": nil,
},
},
Description: pulumi.String("string"),
DisplayName: pulumi.String("string"),
IsEnabled: pulumi.Bool(false),
Properties: pulumi.StringMap{
"string": pulumi.String("string"),
},
Tags: pulumi.StringMap{
"string": pulumi.String("string"),
},
Trigger: machinelearningservices.CronTrigger{
EndTime: "string",
Expression: "string",
StartTime: "string",
TimeZone: "string",
TriggerType: "Cron",
},
},
WorkspaceName: pulumi.String("my-aml-workspace"),
})
if err != nil {
return err
}
return nil
})
}

package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.azurenative.machinelearningservices.Schedule;
import com.pulumi.azurenative.machinelearningservices.ScheduleArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;
public class App {
    public static void main(String[] args) {
        Pulumi.run(App::stack);
    }
    public static void stack(Context ctx) {
        var schedule = new Schedule("schedule", ScheduleArgs.builder()
            .name("string")
            .resourceGroupName("test-rg")
            .scheduleProperties(Map.ofEntries(
                Map.entry("action", Map.ofEntries(
                    Map.entry("actionType", "InvokeBatchEndpoint"),
                    Map.entry("endpointInvocationDefinition", ScheduleArgs.builder()
%!v(PANIC=Format method: interface conversion: model.Expression is *model.TemplateExpression, not *model.LiteralValueExpression))
                    )),
                    Map.entry("description", "string"),
                    Map.entry("displayName", "string"),
                    Map.entry("isEnabled", false),
                    Map.entry("properties", Map.of("string", "string")),
                    Map.entry("tags", Map.of("string", "string")),
                    Map.entry("trigger", Map.ofEntries(
                        Map.entry("endTime", "string"),
                        Map.entry("expression", "string"),
                        Map.entry("startTime", "string"),
                        Map.entry("timeZone", "string"),
                        Map.entry("triggerType", "Cron")
                    ))
                ))
                .workspaceName("my-aml-workspace")
                .build());
        }
}

$ pulumi import azure-native:machinelearningservices:Schedule string /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/schedules/{name}